code: def customized_read_words(input_fpath):  # , dictionary):
      with open(input_fpath, "r", encoding="utf8") as f:
          words = f.read()
      # Clean the data
      words = customized_clean_str(words)
      # Split each word
      return words.split()
  
file_path: TensorLayer/examples/text_generation/tutorial_generate_text.py
imports: import os
  import re
  import time
  import nltk
  import numpy
  import tensorflow
  import tensorlayer
  from tensorlayer.layers import *
  from tensorlayer.models import Model
label_desc: Use image node_id 3 for calling a global function with example usage: customized_read_words(input_fpath) and returns: words